A blazingly fast Stack Overflow clone running the real Stack Exchange dataset.
NOTE: The repository is no longer being actively maintained by the Dgraph team. If something is broken, we'd happily accept a pull request from you, but won't fix anything ourselves.
UPDATE: This project is properly updated to work with version 1.0.14 of Dgraph. It's working as expected on MacOS and Linux. There are some problems running the project on Windows, that can be solved by starting JS server and JS client separately. See "syntax_changed.md" for detailed instructions
First Thing first
Before starting, make sure that Dgraph is running on default ports (8080, 9080 ...) Then go to Ratel UI or by cURL and set the Schema in the schema.txt file. Without this it won't work.
npm installin the root directory
npm installin the
- In the root directory, run
npm run dev
You can also instead just run sh ./run.sh
This app is currently compatible with Dgraph v1.0.14
docker run -it -p 8080:8080 -p 9080:9080 -v ~/dgraph:/dgraph --name dgraph dgraph/dgraph:v1.0.14 dgraph alpha --bindall=true --memory_mb 2048
PS. You can also run this project with Dgraph binaries instead of Docker.
Convert stackexchange data from relation to graph. From the current directory:
for category in comments posts tags users votes; do go run $category/main.go -dir="/users/$USER/Downloads/lifehacks.stackexchange.com" -output="/users/$USER/dgraph"; done
Run the schema mutation
Load graph data files into Dgraph. From the current directory:
for category in comments posts tags users votes; do docker exec -it dgraph dgraphloader -r $category.rdf.gz; done